Topic starter
27/06/2026 1:16 pm
TL;DR: Deepfake technology is increasing the credibility of phishing, disinformation, and social engineering by making manipulated audio and video harder to distinguish from authentic content, according to Abnormal AI’s on-demand webinar with Mike Britton and Tyler Cohen Wood. The trust problem now extends beyond fraud response into identity verification, executive protection, and approval workflows.
Editorial analysis by NHI Mgmt Group, based on content published by Abnormal AI: “Diving into the Deep: How Deepfakes Will Change Cybercrime”.
Key questions
Q: How should security teams defend against deepfake fraud in executive approval workflows?
A: They should require out-of-band verification, role separation, and documented approval steps for any high-risk request.
Q: Why do deepfakes create more risk than ordinary phishing emails?
A: Deepfakes add credible audio or video to the social engineering attack, which removes many of the visual and linguistic cues people use to detect fraud.
Practitioner guidance
- Tighten approval workflows Require out-of-band validation for payment, password reset, and access requests that arrive through voice or video, especially when urgency is part of the message.
- Harden executive verification paths Use pre-agreed callback procedures, known contact methods, and step-up checks before any instruction attributed to senior leadership is acted on.
- Add deepfake-aware training Train staff to question synthetic authority cues, especially when a request combines urgency, secrecy, and a familiar persona.
Bottom line: Deepfakes expand cybercrime by making identity cues such as voice and video unreliable in high-trust workflows.
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This topic was modified 3 days ago by NHI Mgmt Group
27/06/2026 2:33 pm
Deepfakes turn trust itself into an attack surface: the security problem is no longer limited to suspicious links or malicious files. When audio and video can be fabricated convincingly, identity assurance has to extend to the content people rely on to make decisions. That shifts the control question from content authenticity alone to whether the workflow can withstand synthetic authority.
A few things that frame the scale:
- Deepfake scams now account for nearly $12 billion in fraud losses globally.
A question worth separating out:
Q: How should IAM teams respond when AI makes identity impersonation easier to scale?
A: They should reassess every process that relies on human judgement alone and add independent checks where a false identity can trigger access or payment changes. The right response is not only more authentication friction, but better assurance at the workflow level and consistent lifecycle coverage across people and systems.
👉 Read our full editorial: Deepfakes are reshaping cybercrime and trust in digital identity
This post was modified 3 days ago by NHI Mgmt Group